Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr

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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “2012], news spreading [Lerman and Ghosh 2010], geographical and socioeconomic patterns [Li et al. 2013], shared content [Ottoni et al.”
A Tale of Cities: Urban Biases in Volunteered Geographic Information (2014, methodology): “Below, we label the temporal approach n-days and, following Li et al. (2013), set n = 10.”
The Geography and Importance of Localness in Geotagged Social Media (2016, methodology): “[28] use 10 days as the minimum length of time.”
The Effect of Population and "Structural" Biases on Social Media-based Algorithms: A Case Study in Geolocation Inference Across the Urban-Rural Spectrum (2017, methodology): “More specifically, we utilized the Twitter Streaming API with a bounding box configured to the contiguous United States, which, like many geographic studies of geotagged content in the U.S. (e.g. [39,47]) 3 , was the geographic extent of our analyses.”